This fMRI study investigated the functional heterogeneity of the core nodes of the default mode network (DMN) during language processing. The core nodes of the DMN were defined as task-induced deactivations over multiple tasks in 94 healthy subjects. We used a factorial design that manipulated different tasks (semantic matching or speech production) and stimuli (familiar words and objects or un...

The proposed semantic information retrieval system handles the following : i) automatic spell correction of user query. ii) analysis and determination of the semantic feature of the content and development of a semantic pattern that represents the semantic features of the content. iii) analysis of user’s query and extension of implied semantics through semantic extension to identify more semant...

Semantic Web techniques bring us help in many fields. In this paper, we propose a way to use Semantic Matching on access control. We illustrate the motivation with an eBusiness access control schema based onRelBAC (for Relation Based Access Control). Semantic Matching techniques are applied on the lightweight ontologies of the subjects and the objects to find the semantic similarities that can ...

The first step in finding an efficient way to solve any difficult problem is making a complete, possibly formal, problem specification. This paper introduces a formal specification for the problem of semantic XML schema matching . Semantic schema matching has been extensively researched, and many matching systems have been developed. However, formal specifications of problems being solved by th...

This Matching input keywords with historical or information domain is an important point in modern computations in order to find the best match information domain for specific input queries. Matching algorithms represents hot area of researches in computer science and artificial intelligence. In the area of text matching, it is more reliable to study semantics of the pattern and query in terms ...

Given the critical and difficult nature of discovering Web services in the development process of service oriented architectures, several studies have been proposed to solve this problem. There is a real need to work for matching semantic Web services which use different ontologies. In responding to this need, measuring semantic similarity between SWS may be reduced to the calculation of simila...

In this paper, we propose a novel query language for video indexing and retrieval that (1) enables to make queries both at the image level and at the semantic level (2) enables the users to define their own scenarios based on semantic events and (3) retrieves videos with both exact matching and similarity matching. For a query language, four main issues must be addressed: data modeling, query f...

The Linked Clinical Trials (LinkedCT) project aims at publishing the first open semantic web data source for clinical trials data. The database exposed by LinkedCT is generated by (1) transforming existing data sources of clinical trials into RDF, and (2) discovering semantic links between the records in the trials data and several other data sources. In this paper, we discuss several challenge...

The vocabulary mismatch problem is a long-standing problem in information retrieval. Semantic matching holds the promise of solving the problem. Recent advances in language technology have given rise to unsupervised neural models for learning representations of words as well as bigger textual units. Such representations enable powerful semantic matching methods. This survey is meant as an intro...